{"id":"W2508783029","doi":"10.5555/3192424.3192612","title":"An experimental evaluation of Giraph and GraphCHI","year":2016,"lang":"en","type":"article","venue":"Advances in Social Networks Analysis and Mining","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"PageRank; Computer science; Implementation; Computation; Graph; Theoretical computer science; Parallel computing; Computer cluster; Distributed computing; Algorithm; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007932651,0.00007034167,0.0001786192,0.0001585343,0.0001169717,0.00002528475,0.0001203189,0.00003430809,0.000005383878],"category_scores_gemma":[0.000007206957,0.00005231078,0.00005181452,0.0006949225,0.000116608,0.0006220771,0.00004197659,0.00002724616,3.062741e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006880579,"about_ca_system_score_gemma":0.000005588512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003282031,"about_ca_topic_score_gemma":0.00003036867,"domain_scores_codex":[0.9991688,0.0001570359,0.0001641619,0.0002286102,0.0001598405,0.0001215232],"domain_scores_gemma":[0.9996558,0.00007322136,0.00009933108,0.00009968792,0.0000398323,0.00003214073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009097515,0.00004973088,0.06719358,0.000001878452,0.00008228875,8.778918e-7,0.002661858,0.003009827,0.0005134618,0.03174988,0.000001453282,0.8947261],"study_design_scores_gemma":[0.001700399,0.0002415789,0.09701031,0.00006541735,0.0004081628,0.000001800759,0.003481206,0.8493085,0.000967346,0.04627407,0.00009491402,0.000446321],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7588273,0.005175052,0.2357305,0.00001727199,0.00005069211,0.0000366255,6.811067e-7,0.000009091728,0.00015281],"genre_scores_gemma":[0.9959334,0.0003527557,0.003633492,0.00001864035,0.00004891333,0.000007454341,0.000001016086,0.000002222908,0.000002115958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8942798,"threshold_uncertainty_score":0.2133172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01354742237454164,"score_gpt":0.3138315747550336,"score_spread":0.3002841523804919,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}